Articles | Volume 25, issue 1
https://doi.org/10.5194/npg-25-175-2018
https://doi.org/10.5194/npg-25-175-2018
Research article
 | 
05 Mar 2018
Research article |  | 05 Mar 2018

A general theory on frequency and time–frequency analysis of irregularly sampled time series based on projection methods – Part 2: Extension to time–frequency analysis

Guillaume Lenoir and Michel Crucifix

Viewed

Total article views: 4,177 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,180 1,763 234 4,177 713 224 249
  • HTML: 2,180
  • PDF: 1,763
  • XML: 234
  • Total: 4,177
  • Supplement: 713
  • BibTeX: 224
  • EndNote: 249
Views and downloads (calculated since 04 Jul 2017)
Cumulative views and downloads (calculated since 04 Jul 2017)

Viewed (geographical distribution)

Total article views: 4,177 (including HTML, PDF, and XML) Thereof 3,863 with geography defined and 314 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Short summary
There is so far no general framework for handling the continuous wavelet transform when the time sampling is irregular. Here we provide such a framework with the Morlet wavelet, based on the results of part I of this study. We also design a test of significance against a general background noise which encompasses the Gaussian white or red noise. All the analysis tools presented in this article are available to the reader in the Python package WAVEPAL.
Share